mlfinlab

Unverified ML strategy on Multi by hudson-and-thames. BotFinder score 18 out of 100.

MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.

Source: github

Explorer/Multi/mlfinlab
18
Data index
MultiMLMedium risk⚠ Unverified

mlfinlab

hudson-and-thamesGitHub
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Net return
—
Max drawdown
—
Sharpe
—
Profit factor
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Win rate
—
Track record
7.7y
BotFinder Analysis

BotFinder analysis pending.

About

mlfinlab

Welcome to Machine Learning Financial Laboratory! This repo is public facing and exists for the sole purpose of providing users with an easy way to raise bugs, feature requests, and other issues. What is MlFinLab? MlFinlab python library is a perfect toolbox that every financial machine learning researcher needs. It covers every step of the ML strategy creation, starting from data structures generation and finishing with backtest statistics. We pride ourselves in the robustness of our codebase - every line of code existing in the modules is extensively tested and documented. Documentation, Example Notebooks and Lecture Videos For every technique present in the library we not only provide extensive documentation, with both theoretical explanations and detailed descriptions of available functions, but also supplement the modules with ever-growing array of lecture videos and slides on the implemented methods. We want you to be able to use the tools right away. To achieve that, every module comes with a number of example notebooks which include detailed examples of the usage of the algor

PythonOpen-sourcealgorithmic-tradingfinancefinancial-machine-learninginvestingmachine-learningportfolio-managementportfolio-optimizationpython
Track record

⚠ No verified equity curve — no track-record source connected.

Risk

Drawdown profile

Data unavailable — contact the owner.

Evidence

Verification ledger

Live-audited
Broker-verified
Capital-backed
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Historical evolution

How the score has moved

Recalculated at each data collection. Transparency means showing the bad weeks too.

No score history is stored yet — only the current score is shown.

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Alerts on changes: coming soon

Prop-firm compatibility

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Source
hudson-and-thames
Since 2010 · 2 bots

Open-source maintainer on GitHub.

Trust 0Profile
Score & reliability18/100
Perf data0/35
Community0/25
Evidence8/20
Recency10/10
Verification0/10

Data-completeness & trust index (not a profitability rating)

Source facts
Stars4,935
Forks1,292
Open issues49
LanguagePython
License—
Last update2023-10-02
Created2019-02-13
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mlfinlab by hudson-and-thames — Unverified | BotFinder